@article{Yıldız_Yıldız_Tekiner_Bağırtan_2014, title={Preprocedural Neutrophil To Lymphocyte Ratio Predıcts Coronary Artery Perforation.}, volume={2}, url={https://ajouronline.com/index.php/AJPNMS/article/view/1231}, abstractNote={<p>Objectives: Coronary artery perforation is a rare, but potentially serious, complication of the percutaneous coronary intervention that can result in death.  Our aim is to define the parameters that show the CP risk before the coronary intervention. Neutrophil/lymphocyte ratio is a novel parameter for assessing inflammation. In this study, our aim is to evaluate the predictive value of NLR for coronary artery perforation.</p><p>Method and Results: We retrospectively reviewed 3542 patients who were performed percutaneous coronary intervention (PCI) in our clinic in the period between 2008 and 2012. The group I, consisted of 17 patients diagnosed with CP. The control group (group II) consisted of 358 patients implanted with bare metal stents (BMS) in the same period. The blood samples obtained from the patients prior to the procedure were tested  for NLR, C- reactive protein (CRP) and biochemical analysis. There was no statistically significant difference between the groups with regard to age, gender and vessel in which the procedure was done.</p><p>NLR and CRP levels were analyzed before percutanous coronary intervention (PCI). NLR and CRP levels in group I was significantly higher than that in group II (3.64±1.3 and 2.5±1.3 p<0.002; 4.1±1.3 and 2.8±1.1 p<0.01 respectively). Multivariate logistic regression analysis showed that NLR, CRP, neutrophil and LDL levels were independently predicted the coronary artery perforation. ROC curve analysis showed that NLR had a sensitivity of 76.5% and a specificity of 77.8% for predicting coronary perforation when the cut-off value of NLR was 3.05.</p><p>Conclusion: It has been demonstrated that NLR which are calculated from the whole blood count, a simple and cheap test, before the procedure statistically has a predictive value to anticipate CP.</p>}, number={2}, journal={Asian Journal of Pharmacy, Nursing and Medical Sciences}, author={Yıldız, Abdulmelik and Yıldız, Cennet and Tekiner, Fatih and Bağırtan, Bayram}, year={2014}, month={May} }